Displaying a virtual eye on a wearable device

ABSTRACT

A computer-implemented method includes: receiving, by a computer device, and from a head position sensor, head position information that indicates a position of a user&#39;s head; receiving, by the computer device, and from an eye position sensor, eye position information that indicates a position of a sensed eye of the user; producing, by the computer device, eye image data that represents a desired eye image based on the head position information and the eye position information; and transmitting, by the computer device, the eye image data to a wearable device worn by the user.

BACKGROUND

The present invention relates generally to the generation and display ofvisual representations of body parts and, more particularly, to thegeneration and display of a virtual human eye.

Interest is increasing in cognitive models that are enabled by Big Dataplatforms. Such models, referred to as “cognitive entities”, aredesigned to remember the past, interact with humans, continuously learn,and refine responses for future instances. Cognitive capabilities enrichthe automation of human needs based on time and situation and providemore dynamic responses and user satisfaction. Advancements in thetelecommunication industry have been a key enabler for the success ofmany technologies, including artificial intelligence (AI), by breakingthe barrier of various factors like sedentary operations, lowerbandwidth, etc. Fourth generation broadband cellular network technology(“4G”) has pushed such technologies to higher levels by parallelizingthe physical channel and thus providing higher bandwidth. Fifthgeneration broadband cellular network technology (“5G”) is expected toserve as a rich enabler to push the dependent technologies to evenhigher levels through mobility bandwidth of 1 GBPS, convergence ofInternet of Things (“IoT”) device access, etc. An advantageous featureof 5G is that the network itself is intelligent and cognitive.

SUMMARY

In a first aspect of the invention, there is a computer-implementedmethod including receiving, by a computer device, and from a headposition sensor, head position information that indicates a position ofa user's head; receiving, by the computer device, and from an eyeposition sensor, eye position information that indicates a position of asensed eye of the user; producing, by the computer device, eye imagedata that represents a desired eye image based on the head positioninformation and the eye position information; and transmitting, by thecomputer device, the eye image data to a wearable device worn by theuser.

In another aspect of the invention, there is a computer program productincluding a computer readable storage medium having program instructionsembodied therewith. The program instructions are executable by acomputing device to cause the computing device to receive from a headposition sensor, head position information that indicates a position ofa user's head; receive from an eye position sensor, eye positioninformation that indicates a position of a sensed eye of the user;produce eye image data that represents a desired eye image based on thehead position information and the eye position information; and transmitthe eye image data to a wearable device worn by the user.

In another aspect of the invention, there is system including aprocessor, a computer readable memory, and a computer readable storagemedium. The system includes program instructions to receive from a headposition sensor, head position information that indicates a position ofa user's head; program instructions to receive from an eye positionsensor, eye position information that indicates a position of a sensedeye of the user; program instructions to produce eye image data thatrepresents a desired eye image based on the head position informationand the eye position information; and program instructions to transmitthe eye image data to a wearable device worn by the user. The programinstructions are stored on the computer readable storage medium forexecution by the processor via the computer readable memory.

Embodiments of the invention provide a cognition enabled apparatus fordisplaying human eyes that works on 5G service orchestration.Embodiments provide the computation and resultant data for a virtualhuman eye based on various insights via an exclusive 5G cosmeticchannel.

BRIEF DESCRIPTION OF THE DRAWINGS

The present invention is described in the detailed description whichfollows, in reference to the noted plurality of drawings by way ofnon-limiting examples of exemplary embodiments of the present invention.

FIG. 1 depicts a cloud computing node according to an embodiment of thepresent invention.

FIG. 2 depicts a cloud computing environment according to an embodimentof the present invention.

FIG. 3 depicts abstraction model layers according to an embodiment ofthe present invention.

FIG. 4 shows a block diagram of an exemplary environment in accordancewith aspects of the invention.

FIG. 5 shows a block diagram of an exemplary environment in accordancewith aspects of the invention.

FIG. 6 shows an exemplary emotion to movement map in accordance withaspects of the invention.

FIG. 7 shows an exemplary gaze mapper in accordance with aspects of theinvention.

FIG. 8 shows a block diagram of an exemplary environment in accordancewith aspects of the invention.

FIG. 9 shows a block diagram of an exemplary environment in accordancewith aspects of the invention.

FIG. 10 shows a flowchart of an exemplary method in accordance withaspects of the invention.

DETAILED DESCRIPTION

The present invention relates generally to the generation and display ofvisual representations of body parts and, more particularly, to thegeneration and display of a virtual human eye. According to aspects ofthe invention, position information regarding the position of a user'shead and eye is used to generate eye image data that is sent to awearable device such as, for example, smart glasses worn by the user.The wearable device then displays on the wearable device an image of theuser's eye based on the eye image data. In embodiments, otherinformation in addition to the head position data and the eye positiondata is used to generate the eye image data. In this manner,implementations of the invention produce an image of a user's eye thatis esthetically pleasing.

Advantageously, embodiments of the invention generate eye image datafrom sensed positions of biological features and uses the eye image datato create an image of an eye on smart glasses. Thus, aspects of theinvention provide improvements to the functioning of a computing systemthat provides an eye image on a wearable device worn by a user. Morespecifically, aspects of the invention utilize the unconventional stepsof determining based on information produced by eye and head positionsensors a desired appearance of a user's eye and then producing an imageof the desired appearance on smart glasses worn by the user. Thus, atechnical solution to the technical problem of producing an image of adesired eye appearance to cover an eye is provided.

The present invention may be a system, a method, and/or a computerprogram product at any possible technical detail level of integration.The computer program product may include a computer readable storagemedium (or media) having computer readable program instructions thereonfor causing a processor to carry out aspects of the present invention.

The computer readable storage medium can be a tangible device that canretain and store instructions for use by an instruction executiondevice. The computer readable storage medium may be, for example, but isnot limited to, an electronic storage device, a magnetic storage device,an optical storage device, an electromagnetic storage device, asemiconductor storage device, or any suitable combination of theforegoing. A non-exhaustive list of more specific examples of thecomputer readable storage medium includes the following: a portablecomputer diskette, a hard disk, a random access memory (RAM), aread-only memory (ROM), an erasable programmable read-only memory (EPROMor Flash memory), a static random access memory (SRAM), a portablecompact disc read-only memory (CD-ROM), a digital versatile disk (DVD),a memory stick, a floppy disk, a mechanically encoded device such aspunch-cards or raised structures in a groove having instructionsrecorded thereon, and any suitable combination of the foregoing. Acomputer readable storage medium, as used herein, is not to be construedas being transitory signals per se, such as radio waves or other freelypropagating electromagnetic waves, electromagnetic waves propagatingthrough a waveguide or other transmission media (e.g., light pulsespassing through a fiber-optic cable), or electrical signals transmittedthrough a wire.

Computer readable program instructions described herein can bedownloaded to respective computing/processing devices from a computerreadable storage medium or to an external computer or external storagedevice via a network, for example, the Internet, a local area network, awide area network and/or a wireless network. The network may comprisecopper transmission cables, optical transmission fibers, wirelesstransmission, routers, firewalls, switches, gateway computers and/oredge servers. A network adapter card or network interface in eachcomputing/processing device receives computer readable programinstructions from the network and forwards the computer readable programinstructions for storage in a computer readable storage medium withinthe respective computing/processing device.

Computer readable program instructions for carrying out operations ofthe present invention may be assembler instructions,instruction-set-architecture (ISA) instructions, machine instructions,machine dependent instructions, microcode, firmware instructions,state-setting data, configuration data for integrated circuitry, oreither source code or object code written in any combination of one ormore programming languages, including an object oriented programminglanguage such as Smalltalk, C++, or the like, and procedural programminglanguages, such as the “C” programming language or similar programminglanguages. The computer readable program instructions may executeentirely on the user's computer, partly on the user's computer, as astand-alone software package, partly on the user's computer and partlyon a remote computer or entirely on the remote computer or server. Inthe latter scenario, the remote computer may be connected to the user'scomputer through any type of network, including a local area network(LAN) or a wide area network (WAN), or the connection may be made to anexternal computer (for example, through the Internet using an InternetService Provider). In some embodiments, electronic circuitry including,for example, programmable logic circuitry, field-programmable gatearrays (FPGA), or programmable logic arrays (PLA) may execute thecomputer readable program instructions by utilizing state information ofthe computer readable program instructions to personalize the electroniccircuitry, in order to perform aspects of the present invention.

Aspects of the present invention are described herein with reference toflowchart illustrations and/or block diagrams of methods, apparatus(systems), and computer program products according to embodiments of theinvention. It will be understood that each block of the flowchartillustrations and/or block diagrams, and combinations of blocks in theflowchart illustrations and/or block diagrams, can be implemented bycomputer readable program instructions.

These computer readable program instructions may be provided to aprocessor of a general purpose computer, special purpose computer, orother programmable data processing apparatus to produce a machine, suchthat the instructions, which execute via the processor of the computeror other programmable data processing apparatus, create means forimplementing the functions/acts specified in the flowchart and/or blockdiagram block or blocks. These computer readable program instructionsmay also be stored in a computer readable storage medium that can directa computer, a programmable data processing apparatus, and/or otherdevices to function in a particular manner, such that the computerreadable storage medium having instructions stored therein comprises anarticle of manufacture including instructions which implement aspects ofthe function/act specified in the flowchart and/or block diagram blockor blocks.

The computer readable program instructions may also be loaded onto acomputer, other programmable data processing apparatus, or other deviceto cause a series of operational steps to be performed on the computer,other programmable apparatus or other device to produce a computerimplemented process, such that the instructions which execute on thecomputer, other programmable apparatus, or other device implement thefunctions/acts specified in the flowchart and/or block diagram block orblocks.

The flowchart and block diagrams in the Figures illustrate thearchitecture, functionality, and operation of possible implementationsof systems, methods, and computer program products according to variousembodiments of the present invention. In this regard, each block in theflowchart or block diagrams may represent a module, segment, or portionof instructions, which comprises one or more executable instructions forimplementing the specified logical function(s). In some alternativeimplementations, the functions noted in the blocks may occur out of theorder noted in the Figures. For example, two blocks shown in successionmay, in fact, be executed substantially concurrently, or the blocks maysometimes be executed in the reverse order, depending upon thefunctionality involved. It will also be noted that each block of theblock diagrams and/or flowchart illustration, and combinations of blocksin the block diagrams and/or flowchart illustration, can be implementedby special purpose hardware-based systems that perform the specifiedfunctions or acts or carry out combinations of special purpose hardwareand computer instructions.

It is understood in advance that although this disclosure includes adetailed description on cloud computing, implementation of the teachingsrecited herein are not limited to a cloud computing environment. Rather,embodiments of the present invention are capable of being implemented inconjunction with any other type of computing environment now known orlater developed.

Cloud computing is a model of service delivery for enabling convenient,on-demand network access to a shared pool of configurable computingresources (e.g. networks, network bandwidth, servers, processing,memory, storage, applications, virtual machines, and services) that canbe rapidly provisioned and released with minimal management effort orinteraction with a provider of the service. This cloud model may includeat least five characteristics, at least three service models, and atleast four deployment models.

Characteristics are as follows:

On-demand self-service: a cloud consumer can unilaterally provisioncomputing capabilities, such as server time and network storage, asneeded automatically without requiring human interaction with theservice's provider.

Broad network access: capabilities are available over a network andaccessed through standard mechanisms that promote use by heterogeneousthin or thick client platforms (e.g., mobile phones, laptops, and PDAs).

Resource pooling: the provider's computing resources are pooled to servemultiple consumers using a multi-tenant model, with different physicaland virtual resources dynamically assigned and reassigned according todemand. There is a sense of location independence in that the consumergenerally has no control or knowledge over the exact location of theprovided resources but may be able to specify location at a higher levelof abstraction (e.g., country, state, or datacenter).

Rapid elasticity: capabilities can be rapidly and elasticallyprovisioned, in some cases automatically, to quickly scale out andrapidly released to quickly scale in. To the consumer, the capabilitiesavailable for provisioning often appear to be unlimited and can bepurchased in any quantity at any time.

Measured service: cloud systems automatically control and optimizeresource use by leveraging a metering capability at some level ofabstraction appropriate to the type of service (e.g., storage,processing, bandwidth, and active user accounts). Resource usage can bemonitored, controlled, and reported providing transparency for both theprovider and consumer of the utilized service.

Service Models are as follows:

Software as a Service (SaaS): the capability provided to the consumer isto use the provider's applications running on a cloud infrastructure.The applications are accessible from various client devices through athin client interface such as a web browser (e.g., web-based e-mail).The consumer does not manage or control the underlying cloudinfrastructure including network, servers, operating systems, storage,or even individual application capabilities, with the possible exceptionof limited user-specific application configuration settings.

Platform as a Service (PaaS): the capability provided to the consumer isto deploy onto the cloud infrastructure consumer-created or acquiredapplications created using programming languages and tools supported bythe provider. The consumer does not manage or control the underlyingcloud infrastructure including networks, servers, operating systems, orstorage, but has control over the deployed applications and possiblyapplication hosting environment configurations.

Infrastructure as a Service (IaaS): the capability provided to theconsumer is to provision processing, storage, networks, and otherfundamental computing resources where the consumer is able to deploy andrun arbitrary software, which can include operating systems andapplications. The consumer does not manage or control the underlyingcloud infrastructure but has control over operating systems, storage,deployed applications, and possibly limited control of select networkingcomponents (e.g., host firewalls).

Deployment Models are as follows:

Private cloud: the cloud infrastructure is operated solely for anorganization. It may be managed by the organization or a third party andmay exist on-premises or off-premises.

Community cloud: the cloud infrastructure is shared by severalorganizations and supports a specific community that has shared concerns(e.g., mission, security requirements, policy, and complianceconsiderations). It may be managed by the organizations or a third partyand may exist on-premises or off-premises.

Public cloud: the cloud infrastructure is made available to the generalpublic or a large industry group and is owned by an organization sellingcloud services.

Hybrid cloud: the cloud infrastructure is a composition of two or moreclouds (private, community, or public) that remain unique entities butare bound together by standardized or proprietary technology thatenables data and application portability (e.g., cloud bursting forload-balancing between clouds).

A cloud computing environment is service oriented with a focus onstatelessness, low coupling, modularity, and semantic interoperability.At the heart of cloud computing is an infrastructure comprising anetwork of interconnected nodes.

Referring now to FIG. 1, a schematic of an example of a cloud computingnode is shown. Cloud computing node 10 is only one example of a suitablecloud computing node and is not intended to suggest any limitation as tothe scope of use or functionality of embodiments of the inventiondescribed herein. Regardless, cloud computing node 10 is capable ofbeing implemented and/or performing any of the functionality set forthhereinabove.

In cloud computing node 10 there is a computer system/server 12, whichis operational with numerous other general purpose or special purposecomputing system environments or configurations. Examples of well-knowncomputing systems, environments, and/or configurations that may besuitable for use with computer system/server 12 include, but are notlimited to, personal computer systems, server computer systems, thinclients, thick clients, hand-held or laptop devices, multiprocessorsystems, microprocessor-based systems, set top boxes, programmableconsumer electronics, network PCs, minicomputer systems, mainframecomputer systems, and distributed cloud computing environments thatinclude any of the above systems or devices, and the like.

Computer system/server 12 may be described in the general context ofcomputer system executable instructions, such as program modules, beingexecuted by a computer system. Generally, program modules may includeroutines, programs, objects, components, logic, data structures, and soon that perform particular tasks or implement particular abstract datatypes. Computer system/server 12 may be practiced in distributed cloudcomputing environments where tasks are performed by remote processingdevices that are linked through a communications network. In adistributed cloud computing environment, program modules may be locatedin both local and remote computer system storage media including memorystorage devices.

As shown in FIG. 1, computer system/server 12 in cloud computing node 10is shown in the form of a general-purpose computing device. Thecomponents of computer system/server 12 may include, but are not limitedto, one or more processors or processing units 16, a system memory 28,and a bus 18 that couples various system components including systemmemory 28 to processor 16.

Bus 18 represents one or more of any of several types of bus structures,including a memory bus or memory controller, a peripheral bus, anaccelerated graphics port, and a processor or local bus using any of avariety of bus architectures. By way of example, and not limitation,such architectures include Industry Standard Architecture (ISA) bus,Micro Channel Architecture (MCA) bus, Enhanced ISA (EISA) bus, VideoElectronics Standards Association (VESA) local bus, and PeripheralComponent Interconnects (PCI) bus.

Computer system/server 12 typically includes a variety of computersystem readable media. Such media may be any available media that isaccessible by computer system/server 12, and it includes both volatileand non-volatile media, removable and non-removable media.

System memory 28 can include computer system readable media in the formof volatile memory, such as random access memory (RAM) 30 and/or cachememory 32. Computer system/server 12 may further include otherremovable/non-removable, volatile/non-volatile computer system storagemedia. By way of example only, storage system 34 can be provided forreading from and writing to a non-removable, non-volatile magnetic media(not shown and typically called a “hard drive”). Although not shown, amagnetic disk drive for reading from and writing to a removable,non-volatile magnetic disk (e.g., a “floppy disk”), and an optical diskdrive for reading from or writing to a removable, non-volatile opticaldisk such as a CD-ROM, DVD-ROM or other optical media can be provided.In such instances, each can be connected to bus 18 by one or more datamedia interfaces. As will be further depicted and described below,memory 28 may include at least one program product having a set (e.g.,at least one) of program modules that are configured to carry out thefunctions of embodiments of the invention.

Program/utility 40, having a set (at least one) of program modules 42,may be stored in memory 28 by way of example, and not limitation, aswell as an operating system, one or more application programs, otherprogram modules, and program data. Each of the operating system, one ormore application programs, other program modules, and program data orsome combination thereof, may include an implementation of a networkingenvironment. Program modules 42 generally carry out the functions and/ormethodologies of embodiments of the invention as described herein.

Computer system/server 12 may also communicate with one or more externaldevices 14 such as a keyboard, a pointing device, a display 24, etc.;one or more devices that enable a user to interact with computersystem/server 12; and/or any devices (e.g., network card, modem, etc.)that enable computer system/server 12 to communicate with one or moreother computing devices. Such communication can occur via Input/Output(I/O) interfaces 22. Still yet, computer system/server 12 cancommunicate with one or more networks such as a local area network(LAN), a general wide area network (WAN), and/or a public network (e.g.,the Internet) via network adapter 20. As depicted, network adapter 20communicates with the other components of computer system/server 12 viabus 18. It should be understood that although not shown, other hardwareand/or software components could be used in conjunction with computersystem/server 12. Examples, include, but are not limited to: microcode,device drivers, redundant processing units, external disk drive arrays,RAID systems, tape drives, and data archival storage systems, etc.

Referring now to FIG. 2, illustrative cloud computing environment 50 isdepicted. As shown, cloud computing environment 50 comprises one or morecloud computing nodes 10 with which local computing devices used bycloud consumers, such as, for example, personal digital assistant (PDA)or cellular telephone 54A, desktop computer 54B, laptop computer 54C,and/or automobile computer system 54N may communicate. Nodes 10 maycommunicate with one another. They may be grouped (not shown) physicallyor virtually, in one or more networks, such as Private, Community,Public, or Hybrid clouds as described hereinabove, or a combinationthereof. This allows cloud computing environment 50 to offerinfrastructure, platforms and/or software as services for which a cloudconsumer does not need to maintain resources on a local computingdevice. It is understood that the types of computing devices 54A-N shownin FIG. 2 are intended to be illustrative only and that computing nodes10 and cloud computing environment 50 can communicate with any type ofcomputerized device over any type of network and/or network addressableconnection (e.g., using a web browser).

Referring now to FIG. 3, a set of functional abstraction layers providedby cloud computing environment 50 (FIG. 2) is shown. It should beunderstood in advance that the components, layers, and functions shownin FIG. 3 are intended to be illustrative only and embodiments of theinvention are not limited thereto. As depicted, the following layers andcorresponding functions are provided:

Hardware and software layer 60 includes hardware and softwarecomponents. Examples of hardware components include: mainframes 61; RISC(Reduced Instruction Set Computer) architecture based servers 62;servers 63; blade servers 64; storage devices 65; and networks andnetworking components 66. In some embodiments, software componentsinclude network application server software 67 and database software 68.

Virtualization layer 70 provides an abstraction layer from which thefollowing examples of virtual entities may be provided: virtual servers71; virtual storage 72; virtual networks 73, including virtual privatenetworks; virtual applications and operating systems 74; and virtualclients 75.

In one example, management layer 80 may provide the functions describedbelow.

Resource provisioning 81 provides dynamic procurement of computingresources and other resources that are utilized to perform tasks withinthe cloud computing environment. Metering and Pricing 82 provide costtracking as resources are utilized within the cloud computingenvironment, and billing or invoicing for consumption of theseresources. In one example, these resources may comprise applicationsoftware licenses. Security provides identity verification for cloudconsumers and tasks, as well as protection for data and other resources.User portal 83 provides access to the cloud computing environment forconsumers and system administrators. Service level management 84provides cloud computing resource allocation and management such thatrequired service levels are met. Service Level Agreement (SLA) planningand fulfillment 85 provide pre-arrangement for, and procurement of,cloud computing resources for which a future requirement is anticipatedin accordance with an SLA.

Workloads layer 90 provides examples of functionality for which thecloud computing environment may be utilized. Examples of workloads andfunctions which may be provided from this layer include: mapping andnavigation 91; software development and lifecycle management 92; virtualclassroom education delivery 93; data analytics processing 94;transaction processing 95; and virtual eye display 96.

Implementations of the invention may include a computer system/server 12of FIG. 1 in which one or more of the program modules 42 are configuredto perform (or cause the computer system/server 12 to perform) one ofmore functions of the virtual eye display 96 of FIG. 3. For example, theone or more of the program modules 42 may be configured to: receive froma head position sensor, head position information that indicates aposition of a user's head; receive from an eye position sensor, eyeposition information that indicates a position of a sensed eye of theuser; produce eye image data that represents a desired eye image basedon the head position information and the eye position information; andtransmit the eye image data to a wearable device worn by the user.

To the extent implementations of the invention collect, store, or employpersonal information provided by, or obtained from, individuals (forexample, eye image data, personality information, eye conditioninformation, etc.), such information shall be used in accordance withall applicable laws concerning protection of personal information.Additionally, the collection, storage, and use of such information maybe subject to consent of the individual to such activity, for example,through “opt-in” or “opt-out” processes as may be appropriate for thesituation and type of information. Storage and use of personalinformation may be in an appropriately secure manner reflective of thetype of information, for example, through various encryption andanonymization techniques for particularly sensitive information.

Some people are displeased with the appearance of one or both of theireyes and desire a system that permits them to present a different lookto other people. There is a lack of acceptable technical solutions forpersons in this situation. One option for the person is to wear darkglasses to hide the subject eye. In many cases the subject eye functionsproperly, but the person is self-conscious of the appearance of the eye.Smart glasses provide some functionality but lack the appearance ofnatural eye movement. There is no mechanism available for smart glassesthat can effectively create a virtual eye manifestation that improvesthe appearance of the natural eye. Dynamic control for a virtual eye insmart eyewear is missing today. Embodiments of the invention provide asolution to this problem.

Embodiments of the invention include a cognition enabled 5G basedvirtual eye using a 5G cosmetic channel. The 5G cosmetic channelreceives streaming inputs from various resources and creates adynamically moving virtual eye on smart glasses. The dynamically movingvirtual eye creates a manifestation of a natural human eye and serves asan enhanced cosmetic service using 5G service orchestration. Inembodiments, the eye and a portion of the surrounding skin are includedin the manifestation. In embodiments, the eyebrow is also included inthe manifestation. Including the eyebrow adds another feature thataccentuates the emotion of the user and, therefore, creates a realisticvirtual representation of the eye.

Embodiments of the invention include systems and apparatuses whichco-exist with smart device monitoring tools, identify and collectinformation from various resources and from IoT enabled devices placedover the glass of the smart glasses, identify the angular movement ofthe neck and objects seen by the person, and instruct a glass displaycontroller to tune the virtual eye appearance based on the insightscollected. Embodiments of the invention collect the information fromvarious devices placed on the smart glass and a 5G enabled controllertransmits the collected data to the 5G service orchestration whichcontains a visual recognition service on top of the angular movementdetector (gaze detector) and insights manager. The vision recognitionservice detects the angle to which the person is viewing via monitoringthe person's head and captured image and accordingly triggers thevirtual eye for a corresponding appearance model. This will create avirtual human eye on the smart glasses/eyewear. Once the user subscribesto or purchases the 5G cosmetic channel, the steam of the collected datawill be transferred to the 5G service orchestration and thecommunication to the virtual eye's controller is performed using a 5Gtelecommunication network. Embodiments also capture the eyebrowmovement, the appearance of the neighboring eye and other parameterslike the recognized image and eye movement. In embodiments, the smarteyewear is a SIM based device that communicates over the 5G cosmeticchannel and sends the data to the backend virtual eye so that a moreaccurate eye image is displayed on the smart eyewear. For example, if aperson sees something shocking, then the virtual eye should reflect thesame (like a human eye looks when a person is shocked).

Similarly, if the user is looking at an object with concentration, thenthe eye image should reflect the same. Embodiments of the inventioncollect information from location services, weather profile, and IoTdevice integration APIs, and consider this information when determiningthe circumstances in which the user currently exists. Based on thesituational context, the eye's inclination is determined and updated tothe smart eyewear for respective projection. For example, if the weatheris detected as sunny, then the eye autonomously squints and/or a burningeye appearance (a red or watering eye, for example) is produced.

Embodiments of the invention collect information from devicesincorporated into or attached to the smart eyewear, the current weatherprofile, a personality insights database, and information from GPS basedlocation services as insights into the conditions that influence theappropriate eye image. Embodiments allocate an exclusive 5G cosmeticchannel (for example, a dedicated communication channel on thetelecommunication system), based on demand, for communicating selectedclient information over the 5G service orchestration via the dedicatedchannel. Embodiments collect the streaming information from the devicesincorporated into or attached to the smart eyewear, such as internal andexternal camera sensors, and infer resulting virtual eye movement.Embodiments get the data from personality insights, habits, and weatherprofiles which affect the natural human eye and classify them for thesituational contexts.

Embodiments reflect emotions to the virtual-eye based on the insights.For example, in embodiments, if a person is angry then the virtual eyemight reflect the same with red-eyes. Embodiments learn from the normaleye movement from inward facing camera sensors and update the knowledge.Embodiments map this learning with the real eye and update the movementpolicies accordingly. Embodiments collect gaze information from eye andhead position sensors, compute eye trajectory based on the gaze andangular information, and classify the same to generate the correct eyestyle.

Embodiments map the user's voice and eye behavior. For example, ifsomeone is annoyed, their voice will indicate that and the virtual eyewill reflect the same feelings. This can also be recognized via visionrecognition of a normal functioning eye. Embodiments provide a clientapplication programming interface (API) mechanism to collect theinformation from electrochromic sensors, cameras, and voice sensors.Embodiments provide a graphical user interface (GUI) to enable drag anddrop selection and modification of various interfaces and priorities,and to interlink with a gesture (positive, negative, mixed) library anda instruction library. Embodiments configure the apparatus forinstruction intervals such as, for example, continuous or driven by timeintervals set or events.

Embodiments utilize visual micro camera sensors and audio sensorspresent in smart eyewear to capture inputs by a cognitive entity forcomputation. This is used to capture images which are used by thecognitive entity to recognize a weather profile and external factors.Embodiments gather information of weather data from sensors and/or fromInternet-situated resources and manipulate the virtual eye movementbased on policies updated with the information and data.

Embodiments update a color selection policy and priorities based on amovement of the user. For example, for a person that is detected astravelling from a cloudy environment to a sunny environment, the colorof the eye and/or the size of the pupil is adjusted accordingly based,for example, on the brightness of the environment.

FIG. 4 shows a block diagram of an exemplary environment in accordancewith aspects of the invention. In embodiments, the environment includesan eye imaging system 100 that includes an end user device 205 such as,for example, smart glasses or other wearable device. Also included inthe environment is a virtual human eye device 400 that performs variousprocessing to produce eye image data that is transmitted to the end userdevice 205 by way of, in this example, a 5G telecommunication network300. In embodiments, the virtual human eye device 400 is a server thatcomprises one or more of the elements of the computer system/server 12of FIG. 1. In embodiments, the virtual human eye device 400 is locatedremotely from the end user device 205. In embodiments, the virtual humaneye device 400 resides on a computing device that is directly attachedto the end user device 205 either through a wireless connection or awired connection. While a 5G telecommunication network 300 is includedin this example, it is noted that other telecommunication networks orother type of networks can be used.

As described above, that virtual human eye device 400 processes variousinformation to produce eye image data that is then sent to the end userdevice 205 for the end user device 205 to use to generate an image ofthe user's eye. The generated image is displayed on the end user device205 to present an eye image that the user prefers to the appearance oftheir actual eye. In embodiments, the generated image is displayed onthe end user device by LED, LCD, projectors, or other display devices206. Display devices 206 are integral to, or separate from, the end userdevice 205. In order to generate a realistic looking eye image, thevirtual human eye device 400 receives various information that isrelevant to the creation of the eye image. In this example, a speech totext module 405 converts speech collected by the end user device 205 andconverts the speech to text. In embodiments, this speech collection isachieved by a microphone that is integral to the end user device 205,attached to the end user device 205, or located somewhere else on theuser's body or remotely from the user's body. In embodiments, a visionrecognition module 410 interprets video data that is collected by theend user device 205 and determines from the video data variousinformation (environment information) that indicates an environment ofthe user such as, for example, what the user is looking at and/or thesurroundings of the user. In embodiments, this video collection isachieved by a video recording device that is integral to the end userdevice 205, attached to the end user device 205, or located somewhereelse on the user's body or remotely from the user's body.

In embodiments, an angular inclination detection module (or eye positionsensor) 415 receives eye position information collected by the end userdevice 205 and determines from that information an angular position ofone or both of the user's eyes. In embodiments, this collection isachieved by an attitude detection device such as, for example, a camerathat is integral to the end user device 205 or attached to the end userdevice 205.

In embodiments, a head position detection module 480 receives headposition information collected by the end user device 205 and determinesfrom that information an angular position of the user's head. Inembodiments, this collection is achieved by an attitude detection device(head position sensor) such as, for example, a gyroscope that isintegral to the end user device 205 or attached to the end user device205.

In embodiments, a situation-based classifier 420 determines aclassification of the current situation of the user in order to accessan appropriate set of eye image data that is to be used by a situationto reaction mapper 470. For example, if the user is in a situation thatwould normally result in a surprised user, then the situation-basedclassifier 420 flags a particular set of eye image data that isappropriate for a surprised user. The situation to reaction mapper 470then finds the specific appropriate eye image data based on theparticular set of eye image data flagged by the situation-basedclassifier 420, along with, in some embodiments, one or more of theother inputs, to determine the appropriate eye image data to transmit tothe end user device 205.

In embodiments, an image inclination detection module 425 receives imageangle/location information collected by the end user device 205 anddetermines from that information an angular inclination of the imagerelative to the position of the user's head. In embodiments, thiscollection is achieved by a video recording device that is integral toend user device 205 or attached to the end user device 205.

In embodiments, a natural response identifier and classifier 430identifies and classifies a natural response to the current situation ofthe user in order to more precisely determine the appropriate eye imagedata. For example, based on input form various other of the modules invirtual human eye device 400, if it is determined that the user iswatching a comedy show and that the user is laughing, the naturalresponse identifier and classifier 430 determines that the user is in asituation where the user is laughing. As a result, eye image data thatcorresponds to a laughing person is selected. In embodiments, thevirtual human eye device 400 accesses a personality insight databasethat is tailored to the user with personality information indicative ofthe user's personality. The virtual human eye device 400 uses theinformation in the personality insight database to more accuratelypredict the natural response of the user to any particular situation.

In embodiments, a streaming media metadata map compare module 435monitors and/or searches streaming media for events or happenings at thegeographic location of the user. This data is used by, for example, thesituation-based classifier 420 and/or other modules in virtual human eyedevice 400 to more precisely determine the user's current situation. Inembodiments, a notifier 440 sends notices to the end user device 205that are displayed or audibly presented to the user. For example, thevirtual human eye device 400 sends an audible notification to the userto inform the user that it is currently sending eye image data thatrepresents a surprised look.

In embodiments, an auto-delivery manager 445 manages the frequency andother aspects of deliveries of eye image data (and in some embodiments,other data or notifications) to the end user device 205. For example,the auto-delivery manager 445 instructs the virtual human eye device 400to send refreshed eye image data to the end user device 205 every secondor at some other defined interval.

In embodiments, an incident cycle manager 450 monitors the incidents(such as surprises, fearful reactions, and reoccurring events) of theuser to more precisely determine the user's current situation. Forexample, if the incident cycle manager 450 has historical data thatshows that the user watches a particular comedy show on television everyweeknight at 8:00 pm and other data and information collected by thevirtual human eye device 400 indicates that the user is laughing, thenthe eye image data that corresponds to a laugh is reinforced as theproper eye image data.

In embodiments, a gaze detector module 455 receives information from oneor more of the modules in the virtual human eye device 400 anddetermines from that information what the “gaze” of the user should begiven the situation of the user. An example of a gaze map 530 is shownin FIG. 7. For example, if the various information indicate that theuser is looking downward to the left, then the gaze detector module 455indicates that the corresponding gaze from gaze map 530 is appropriatefor inclusion in the eye image data.

In embodiments, a visual stimuli tracker 460 monitors the visual stimuli(such as video content of media being viewed) of the user to moreprecisely determine the user's current situation. For example, if thevisual stimuli tracker 460 has historical data that shows that when usersees a picture or video of an automobile accident the user is sad, thenthis information is used by the virtual human eye device 400 to moreprecisely determine the appropriate eye image data.

In embodiments, another eye information monitor 465 monitors other eyeinformation beyond that monitored, collected, and/or processed by theother modules of the virtual human eye device 400.

In embodiments, client trigger and communication APIs 475 are includedin the virtual human eye device 400 to enable the virtual human eyedevice 400 to transmit eye image data (and any other data orcommunication) in a language and format that a particular end userdevice 205 (or other device) uses. Different client trigger andcommunication APIs 475 are used for different end user devices 205. Inembodiments, the virtual human eye device 400 contains multiple clienttrigger and communication APIs 475 to enable the virtual human eyedevice 400 to communicate with different devices.

In embodiments, all of the components of the virtual human eye device400 are one or more of the program modules 42 of FIG. 1. In embodiments,any or all of the components/modules of the virtual human eye device 400are split into a larger number of modules and/or combined into a smallernumber of modules.

In embodiments, the virtual human eye device 400 receives additionalinput 500 from various sources. For example, additional input 500includes weather conditions, social media feeds, news feeds, sensorssuch as body position sensors, body temperature sensors, body humiditysensors, and any other input that can indicate a condition orenvironment of the user.

FIG. 5 shows an exemplary embodiment of the invention. In this example,the virtual human eye device 400 communicates with the 5Gtelecommunication network 300 through a fixed access network 600 (inthis example an optical fixed access network 600). Fixed access networkssuch as optical fixed access network 600 connect subscribers to theirprovider of telecommunication service. This example of the optical fixedaccess network includes enterprise-to-enterprise (E2E) management andorchestration 605, network virtualized function (NVF) orchestration 610,a virtual network function (VNF) manager 615, and a virtual informationmanager (VIM) 620.

FIG. 5 shows the virtual human eye device 400 having communication linksto the gaze map 530, for example the gaze map 530 shown in FIG. 7 andreferred to in the discussion regarding FIG. 4. The virtual human eyedevice 400 also, in this example, communicates with an emotion tomovement map 540, an example of which is shown in FIG. 6. The emotion tomovement map 540 contains a correlation between various eye positions ormovements and associated emotions. The information in the emotion tomovement map 540 is considered by the virtual human eye device 400 whendetermining what eye movement should be depicted by the eye image data.

FIG. 5 shows an example of a user 200 looking at an object andparticular data that is collected (referred to in this figure as aclient instance) and supplied to the virtual human eye device 400 to addprecision to the eye image data. In this example, the left eye of theuser 200 is looking down along an inclined view line 110 at the object.The inclined view line 110 forms an angular inclination 120 with a baseaxis 115 that is, in this example, horizontal. This information is usedby the virtual human eye device 400 to generate the eye image data thatdisplays an eye that is looking in the direction of the object. In thisembodiment, the eye position data collected is that of one actual eye.In other embodiments, the eye position data collected is that of theother actual eye. In some embodiments, the eye position data iscollected for both eyes. In embodiments, and the virtual human eyedevice 400 considers one or both sets of eye position data inconjunction with none, some, or all of the other data collected todetermine the optimal eye image data.

Embodiments of the invention generate eye image data that is used tohide human emotion. In certain situations, people do not want theirreactions to be seen by other people. For example, a person may not wantto show sadness in public. The trigger to reflect/hide the situation ismade based on the user inputs and detected user-specific insights andvirtual eye controllers are triggered accordingly. As the proposedinvention provides the ability to learn from history, it effectivelyidentifies the emotional situations and maps it with sentiments andmakes masking decisions accordingly.

FIG. 8 shows an application of embodiments of the invention that appliesfeatures of the invention to robot. In today's world, industries havestarted capitalizing on the virtual cognitive interfaces which areexpected to possess cognition capabilities manifesting emotions tointeract naturally with humans. Embodiments include a cognition enabledcapability in the 5G service orchestration layer which provides avirtual representation of a human eye on the robot. Embodiments work in5G service orchestration and provide the triggers to the robot eyecontrollers to move the eyes based on the situational insights. In thecase of cognitive interfaces, a robot eye controller 215 situated at the“eye” part of robot is actuated by the virtual human eye device 400. Therobot eye controller 215 at the robot eye is connected to the servicesvia a dedicated cosmetic channel on the 5G telecommunication network300. In embodiments, these services include the functions of the virtualeye 400 discussed above. Once the robot eye focuses on an object, theinformation captured by, for example, a camera integrator 220 (andassociated cameras), an audio data collector 225 (and associatedmicrophones), and an angular velocity detector 230, and otherinterrelated devices is streamed by a data streamer 235 over thecosmetic channel to the virtual human eye device 400.

The robot eye controller 215 includes a trigger receiver and actuators245 and a movement manager to move the robot eye in accordance with theeye image data provided by the virtual human eye device 400. This addsthe capability of robots to react more like humans based on thesituation viewed by the robot. An advantage of embodiments of theinvention is that by working as a service at the service orchestrationlayer, less computing overhead is needed at the cognitive interface(which may have limited input power) of the robot itself. For example,in embodiments, if a cognitive interface such as a robot views anaccident on the road, the robot's eyes will reflect a shocked/tensesituation with raised eyebrows and increased eye lenses size. In anotherexample, if a cognitive interface such as a robot moves from a darkerlocation to a brighter location, the eye lenses shrink like the pupil ina natural human eye.

In embodiments (where appropriate), all of the components of the roboteye controller 215 are one or more of the program modules 42 of FIG. 1.In embodiments (where appropriate), any or all of the components/modulesof the robot eye controller 215 are split into a larger number ofmodules and/or combined into a smaller number of modules

FIG. 9 shows the robot eye controller 215 as part of a centralizedcontrol unit 210 that also includes an activity mapper 250, a headmovement manager 255, and a device integrator 260. The robot eyecontroller 215 controls the robot eye based on the eye image datareceived from the virtual human eye device 400. The activity mapper 250collects the various data from the various devices such as cameras,microphones, movement sensors, and other devices which is sent to thevirtual human eye device 400 for use in generating the eye image data.The head movement manager 255 controls movement of the robot's head anda device integrator 260 coordinates the head movement with the eye imagedata for a more realistic appearance.

FIG. 10 shows a flowchart of an exemplary method in accordance withaspects of the present invention. Steps of the method may be carried outin the environment of FIG. 4 and are described with reference toelements depicted in FIG. 4.

At step 905, the system receives information for devices on a wearabledevice, for example end user device 205. An example of the end userdevice 205 is a pair of smart glasses. In embodiments, the virtual humaneye device 400 receives head position information from a head positionsensor on end user device 205. In embodiments, the head position sensoris located remotely from the smart glasses/end user device 205. Inembodiments, the head position detection module 480 of the virtual humaneye device 400 receives the head position information. At step 910, thesystem receives eye position information of an eye of the user. Inembodiments, the virtual human eye device 400 receives the eye positioninformation from an eye position sensor on end user device 205. Inembodiments, the eye position sensor is located remotely from the smartglasses/end user device 205. In embodiments, the angular inclinationdetection module 415 of the virtual human eye device 400 receives theeye position information.

At step 915, the system receives information from a personality insightdatabase. In embodiments, the natural response identifier and classifier430 of the virtual human eye receives the information from thepersonality insight database. As described above, the information in thepersonality insight database is used by embodiments to better predictthe user's reaction to a particular situation. At step 920, the systemreceives eye condition information such as, for example, eye redness orcolor, whether the eye is tearing, pupil size, etc. In embodiments, theother eye information monitor 465 of the virtual human eye device 400receives the eye condition information from a camera or other sensorintegral to, mounted on, or located remotely from the end user device205.

At step 925, the system receives information regarding the environmentof the user. In embodiments, the virtual human eye device 400 receivesthe information regarding the environment from additional input 500 suchas, for example, weather data, temperature data, elevation data, and anyother information regarding the environment of the user. At step 930,the system predicts the emotional state of the user. In embodiments, thenatural response identifier and classifier 430 of the virtual human eyedevice 400 predicts the emotional state of the user based on, forexample, all or some of the various information described in thisdisclosure.

At step 935, the virtual human eye device 400 produces eye image datathat represents a desired eye image from the information received in anyor all of steps 905, 910, 915, 920, 925 and/or emotional state of theuser predicted in step 930. At step 940, the virtual human eye device400 transmits the eye image data to the end user device 205. At step945, the end user device 205 displays the desired eye appearance on theend user device 205 based on the eye image data received from thevirtual human eye device 400.

In embodiments, a service provider could offer to perform the processesdescribed herein. In this case, the service provider can create,maintain, deploy, support, etc., the computer infrastructure thatperforms the process steps of the invention for one or more customers.These customers may be, for example, any business that uses technology.In return, the service provider can receive payment from the customer(s)under a subscription and/or fee agreement and/or the service providercan receive payment from the sale of advertising content to one or morethird parties.

In still additional embodiments, the invention provides acomputer-implemented method, via a network. In this case, a computerinfrastructure, such as computer system/server 12 (FIG. 1), can beprovided and one or more systems for performing the processes of theinvention can be obtained (e.g., created, purchased, used, modified,etc.) and deployed to the computer infrastructure. To this extent, thedeployment of a system can comprise one or more of: (1) installingprogram code on a computing device, such as computer system/server 12(as shown in FIG. 1), from a computer-readable medium; (2) adding one ormore computing devices to the computer infrastructure; and (3)incorporating and/or modifying one or more existing systems of thecomputer infrastructure to enable the computer infrastructure to performthe processes of the invention.

The descriptions of the various embodiments of the present inventionhave been presented for purposes of illustration, but are not intendedto be exhaustive or limited to the embodiments disclosed. Manymodifications and variations will be apparent to those of ordinary skillin the art without departing from the scope and spirit of the describedembodiments. The terminology used herein was chosen to best explain theprinciples of the embodiments, the practical application or technicalimprovement over technologies found in the marketplace, or to enableothers of ordinary skill in the art to understand the embodimentsdisclosed herein.

What is claimed is:
 1. A computer-implemented method comprising:receiving, by a computer device, and from a head position sensor, headposition information that indicates a position of a user's head;receiving, by the computer device, and from an eye position sensor, eyeposition information that indicates a position of a sensed eye of theuser; receiving, by the computer device, and from a personality insightdatabase, personality information about the user; producing, by thecomputer device, eye image data that represents a desired image of aneye of the user based on the head position information, the eye positioninformation, and the personality information; and transmitting, by thecomputer device, the eye image data to a wearable device worn by theuser.
 2. The computer-implemented method of claim 1, further comprisingupdating the eye image data based on at least one selected from thegroup consisting of: a change in the head position information, and achange in the eye position information.
 3. The computer-implementedmethod of claim 1, further comprising receiving, by the computer device,environment information regarding a current environment of the user,wherein the producing eye image data is based on the environmentinformation.
 4. The computer-implemented method of claim 3, furthercomprising updating the eye image data based on at least one selectedfrom the group consisting of: a change in the head position information,a change in the eye position information, and a change in theenvironment information.
 5. The computer-implemented method of claim 1,wherein the eye image data represents an eye of the user other than thesensed eye.
 6. The computer-implemented method of claim 1, wherein theeye image data represents the sensed eye.
 7. The computer-implementedmethod of claim 1, wherein the eye position information is an angularinclination of the sensed eye.
 8. The computer-implemented method ofclaim 1, further comprising receiving, by the computer device, eyecondition information that indicates a condition of the sensed eye. 9.The computer-implemented method of claim 8, further comprisingpredicting, by the computer device, an emotional state of the user basedon the eye condition information.
 10. The computer-implemented method ofclaim 8, wherein the eye condition information includes at least oneselected from the group consisting of: eye redness, presence of tears,and pupil size.
 11. The computer-implemented method of claim 1, whereinthe computer device includes software provided as a service in a cloudenvironment.
 12. The computer-implemented method of claim 1, wherein thereceiving from a head position sensor, the receiving from an eyeposition sensor, and the transmitting to a wearable device are performedover a dedicated cosmetic channel of a telecommunication network.
 13. Acomputer program product, the computer program product comprising acomputer readable storage medium having program instructions embodiedtherewith, the program instructions executable by a computing device tocause the computing device to: receive, from a head position sensor,head position information that indicates a position of a user's head;receive, from an eye position sensor, eye position information thatindicates a position of a sensed eye of the user; receive, from apersonality insight database, personality information about the user;produce eye image data that represents a desired image of an eye of theuser based on the head position information, the eye positioninformation, and the personality information; and transmit the eye imagedata to a wearable device worn by the user.
 14. The computer programproduct of claim 13, further comprising program instructions executableby the computing device to cause the computing device to receiveenvironment information regarding a current environment of the user,wherein the eye image data is produced based on the environmentinformation.
 15. The computer program product of claim 13, wherein theenvironment information includes brightness of the current environmentof the user.
 16. The computer program product of claim 13, furthercomprising program instructions executable by the computing device tocause the computing device to receive the head position information,receive the eye position information, and transmit the eye image data,over a dedicated cosmetic channel of a telecommunication network.
 17. Asystem comprising: a processor, a computer readable memory, and acomputer readable storage medium; program instructions to receive, froma head position sensor, head position information that indicates aposition of a user's head; program instructions to receive: from an eyeposition sensor, eye position information that indicates a position of asensed eye of the user; program instructions to receive, from apersonality insight database, personality information about the user;program instructions to produce eye image data that represents a desiredimage of an eye of the user based on the head position information, theeye position information, and the personality information; and programinstructions to transmit the eye image data to a wearable device worn bythe user, wherein the program instructions are stored on the computerreadable storage medium for execution by the processor via the computerreadable memory.
 18. The system of claim 17, further comprising programinstructions executable by the computing device to cause the computingdevice to receive the head position information, receive the eyeposition information, and transmit the eye image data over a dedicatedcosmetic channel of a telecommunication network.
 19. Thecomputer-implemented method of claim 1, further comprising receiving, bythe computer device, and from devices incorporated into the wearabledevice, a current weather profile, and information from globalpositioning system (GPS) location services, wherein the image of an eyeof the user is a manifestation of a natural human eye for displaying onthe wearable device, and the producing the eye image data is furtherbased on the current weather profile, and the information from GPSlocation services.